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Kanai M, Yoshida K, Okada H, Ohtsubo T, Ueno K, Nozoe M. Identifying determinants of physical activity in older patients with musculoskeletal disorders undergoing rehabilitation: Comparison of two distinct models using structural equation modeling. Geriatr Gerontol Int 2025; 25:160-166. [PMID: 39676409 DOI: 10.1111/ggi.15022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 10/19/2024] [Accepted: 11/06/2024] [Indexed: 12/17/2024]
Abstract
AIM Mobility restrictions cause older adults with musculoskeletal disorders to have lower levels of physical activity. However, the determinants of their physical activity during hospitalization are unclear. We aimed to compare two conceptual frameworks using structural equation modeling to identify factors influencing physical activity in older patients with musculoskeletal disorders. METHODS This cross-sectional study included older patients with musculoskeletal disorders at a single convalescent rehabilitation hospital. Physical activity was objectively measured using a triaxial accelerometer. We utilized structural equation modeling to contrast two conceptual frameworks: (i) the sarcopenia/nutrition/activities of daily living model, and (ii) the age-related deconditioning/activities of daily living model. The models' goodness-of-fit was evaluated, including root mean square approximation error, goodness-of-fit index (GFI), adjusted GFI and Akaike information criterion. RESULTS We enrolled 274 older patients (age 78.0 years; 42 men, 232 women) with musculoskeletal disorders. Among them, 123 (44.9%) were diagnosed with sarcopenia and 69 (25.2%) with malnutrition. The goodness-of-fit of the (ii) model (root mean square approximation error = 0.068, GFI = 0.958, adjusted GFI = 0.909, Akaike information criterion = 5780.875) was superior to the (i) model (root mean square approximation error = 0.080, GFI = 0.953, adjusted GFI = 0.887, Akaike information criterion = 5791.429). CONCLUSIONS We discovered that the age-related deconditioning/activities of daily living model effectively explained physical activity in hospitalized older patients with musculoskeletal disorders. A comprehensive approach considering age-related changes, such as sarcopenia and malnutrition, might offer a simpler and more effective framework for understanding and promoting physical activity in this demographic. Geriatr Gerontol Int 2025; 25: 160-166.
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Affiliation(s)
- Masashi Kanai
- Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa, Japan
| | - Kazuki Yoshida
- Department of Rehabilitation Sciences, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Hiroki Okada
- Department of Rehabilitation Sciences, Faculty of Health Sciences, Hokkaido University, Sapporo, Japan
| | - Takuro Ohtsubo
- Department of Rehabilitation, Nishi-Kinen Port Island Rehabilitation Hospital, Kobe, Japan
| | - Katsuhiro Ueno
- Department of Rehabilitation, Nishi-Kinen Port Island Rehabilitation Hospital, Kobe, Japan
| | - Masafumi Nozoe
- Department of Physical Therapy, Faculty of Rehabilitation, Kansai Medical University, Osaka, Japan
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Styczen H, Maus V, Weiss D, Goertz L, Hosch R, Rubbert C, Beck N, Holtkamp M, Salhöfer L, Schubert R, Deuschl C, Nensa F, Haubold J. Impact of imaging biomarkers from body composition analysis on outcome of endovascularly treated acute ischemic stroke patients. J Neurointerv Surg 2025:jnis-2024-022275. [PMID: 39327046 DOI: 10.1136/jnis-2024-022275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 09/15/2024] [Indexed: 09/28/2024]
Abstract
BACKGROUND We investigate the association of imaging biomarkers extracted from fully automated body composition analysis (BCA) of computed tomography (CT) angiography images of endovascularly treated acute ischemic stroke (AIS) patients regarding angiographic and clinical outcome. METHODS Retrospective analysis of AIS patients treated with mechanical thrombectomy (MT) at three tertiary care-centers between March 2019-January 2022. Baseline demographics, angiographic outcome and clinical outcome evaluated by the modified Rankin Scale (mRS) at discharge were noted. Multiple tissues, such as muscle, bone, and adipose tissue were acquired with a deep-learning-based, fully automated BCA from CT images of the supra-aortic angiography. RESULTS A total of 290 stroke patients who underwent MT due to cerebral vessel occlusion in the anterior circulation were included in the study. In the univariate analyses, among all BCA markers, only the lower sarcopenia marker was associated with a poor outcome (P=0.007). It remained an independent predictor for an unfavorable outcome in a logistic regression analysis (OR 0.6, 95% CI 0.3 to 0.9, P=0.044). Fat index (total adipose tissue/bone) and myosteatosis index (inter- and intramuscular adipose tissue/total adipose tissue*100) did not affect clinical outcomes. CONCLUSION Acute ischemic stroke patients with a lower sarcopenia marker are at risk for an unfavorable outcome. Imaging biomarkers extracted from BCA can be easily obtained from existing CT images, making it readily available at the beginning of treatment. However, further research is necessary to determine whether sarcopenia provides additional value beyond established outcome predictors. Understanding its role could lead to optimized, individualized treatment plans for post-stroke patients, potentially improving recovery outcomes.
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Affiliation(s)
- Hanna Styczen
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Volker Maus
- Department of Radiology, Neuroradiology and Nuclear Medicine, Knappschaftskrankenhaus Langendreer, Ruhr-University Bochum, Bochum, Germany
- Klinikum Aschaffenburg-Alzenau, Institute for Radiology and Neuroradiology, Aschaffenburg, Germany
| | - Daniel Weiss
- Department of Diagnostic and Interventional Radiology, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Lukas Goertz
- Department of Diagnostic and Interventional Radiology, University Hospital of Cologne, Cologne, Germany
| | - René Hosch
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany
| | - Christian Rubbert
- Department of Diagnostic and Interventional Radiology, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Nikolas Beck
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Mathias Holtkamp
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany
| | - Luca Salhöfer
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany
| | - Rosa Schubert
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Cornelius Deuschl
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Felix Nensa
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany
| | - Johannes Haubold
- Institute for Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
- Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen, Essen, Germany
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Huang CY, Liu YH. Sex difference, proteostasis and mitochondrial function impact stroke-related sarcopenia-A systematic review and meta-analysis. Ageing Res Rev 2024; 101:102484. [PMID: 39218079 DOI: 10.1016/j.arr.2024.102484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 08/11/2024] [Accepted: 08/29/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND The prevalence of stroke-related sarcopenia has been noted; however, epidemiological data and interventions that increase or reduce the incidence of stroke-related sarcopenia remain lacking. METHODS Studies on stroke-related sarcopenia were included in association or interventional analyses. All analyses were performed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two evaluators independently extracted the data. RESULTS Female stroke patients had a higher preference for sarcopenia than male patients (pooled odds ratio [OR] = 0.670, 95 % CI 0.533-0.842, p = 0.001). Although stroke patients without drug use have improved skeletal muscle mass index (SMI) (MD = 0.272, 95 % CI 0.087-0.457, p = 0.004), handgrip strength (HGS) was not significantly altered (MD = -0.068, 95 % CI -0.221-0.076, p = 0.354). Stroke patients with nutrient interventions have improved SMI (MD = -0.354, 95 % CI -0.635- -0.073, p = 0.014) and HGS (MD = -0.394, 95 % CI -0.678- -0.111, p = 0.006); the synergistic effect of rehabilitation exercise has not been ruled out. Whether a sex difference exists in these interventions remains to be investigated. The underlying pathological mechanisms and potential therapeutic strategies for this disease are discussed. CONCLUSION Sex difference, proteostasis, and mitochondrial function may impact the incidence of stroke-related sarcopenia. Understanding the underlying pathological mechanisms and potential therapeutic targets for this disease will provide new insights into disease treatment, prevention, and drug development.
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Affiliation(s)
- Chien-Yu Huang
- Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University, Taichung 404328, Taiwan; Department of Chinese Medicine, China Medical University Hospital, Taichung 404333, Taiwan
| | - Yu-Huei Liu
- Graduate Institute of Integrated Medicine, China Medical University, Taichung 404333, Taiwan; Department of Medical Genetics and Medical Research, China Medical University Hospital, Taichung 404328, Taiwan; Drug Development Center, China Medical University, Taichung 404333, Taiwan.
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Makihara A, Kanai M, Izawa KP, Kubo H, Inamoto A, Ogura A, Kubo I, Shimada S. The Association between fatigue and physical activity in patients hospitalized with subacute stroke. Top Stroke Rehabil 2024; 31:457-463. [PMID: 38159262 DOI: 10.1080/10749357.2023.2293337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 12/02/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Little is known about the association between fatigue and physical activity in patients hospitalized with subacute stroke. OBJECTIVES The aim of this study was to investigate the association between fatigue and physical activity in patients hospitalized with subacute stroke. METHODS This cross-sectional study enrolled 244 consecutive patients with stroke who were admitted to a subacute rehabilitation ward at our hospital. We assessed fatigue with the Fatigue Assessment Scale (FAS) and used an accelerometer (Active style Pro HJA750-C, OMRON) to record the mean duration of sedentary behavior, light-intensity physical activity (LIPA), and moderate-to-vigorous-intensity physical activity (MVPA). We assessed all factors at 1 month after stroke. Multivariate linear regression analysis revealed the associations between FASscore and objectively measured physical activity. RESULTS In total, we analyzed 85 patients. The duration of the sedentary behavior was significantly associated with the FAS score (β = 1.46, p = 0.037) and the Functional Balance Scale score (β = -1.35, p = 0.045). The LIPA time was significantly associated only with the FBS score (β = 1.38, p = 0.045), whereas MVPA was not associated with any variable.
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Affiliation(s)
- Ayano Makihara
- Department of Rehabilitation, Itami Kousei Neurosurgical Hospital, Itami, Japan
- Graduate School of Health Sciences, Kobe University, Kobe, Japan
| | - Masashi Kanai
- Graduate School of Health Sciences, Kobe University, Kobe, Japan
- Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa, Japan
| | - Kazuhiro P Izawa
- Graduate School of Health Sciences, Kobe University, Kobe, Japan
| | - Hiroki Kubo
- Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Konan Women's University, Kobe, Japan
| | - Asami Inamoto
- Department of Rehabilitation, Itami Kousei Neurosurgical Hospital, Itami, Japan
| | - Asami Ogura
- Graduate School of Health Sciences, Kobe University, Kobe, Japan
| | - Ikko Kubo
- Graduate School of Health Sciences, Kobe University, Kobe, Japan
| | - Shinichi Shimada
- Department of Neurosurgery, Itami Kousei Neurosurgical Hospital, Itami, Japan
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Inoue T, Ueshima J, Kawase F, Kobayashi H, Nagano A, Murotani K, Saino Y, Maeda K. Trajectories of the Prevalence of Sarcopenia in the Pre- and Post-Stroke Periods: A Systematic Review. Nutrients 2022; 15:113. [PMID: 36615772 PMCID: PMC9824538 DOI: 10.3390/nu15010113] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 12/20/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Interventions for stroke-related sarcopenia in patients with stroke are needed, but the details of the target population are unclear. This systematic review aimed to identify trajectories of the prevalence of sarcopenia in the pre- and post-stroke periods and to determine the diagnostic criteria used in patients with stroke. We searched for literature in six databases: MEDLINE, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, CINAHL, and Ichushi-web (in Japanese). We included 1627 studies in the primary screening, and 35 studies were finally included. Of the 35 studies, 32 (91.4%) included Asian patients, and the criteria of the Asian Working Group for Sarcopenia was mainly used as the diagnostic criteria. Nineteen studies used muscle strength and muscle mass to diagnose sarcopenia, whereas a full assessment, including physical performance, was performed in five studies. The estimated prevalences of sarcopenia in pre-stroke, within 10 days of stroke, and from 10 days to 1 month after stroke were 15.8%, 29.5%, and 51.6%, respectively. Sarcopenia increased by approximately 15% from pre-stroke to 10 days, and increased by approximately 20% from 10 days to 1 month. Healthcare providers should note that the prevalence of sarcopenia increases during the acute phase in patients with stroke.
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Affiliation(s)
- Tatsuro Inoue
- Department of Physical Therapy, Niigata University of Health and Welfare, Niigata 950-3198, Japan
| | - Junko Ueshima
- Department of Nutrition Service, NTT Medical Center Tokyo, Tokyo 141-8625, Japan
| | - Fumiya Kawase
- Department of Nutrition, Asuke Hospital Aichi Prefectural Welfare Federation of Agricultural Cooperatives, Aichi 444-2351, Japan
| | - Haruko Kobayashi
- General Incorporated Association Manabi Public Library, Aichi 465-0015, Japan
| | - Ayano Nagano
- Department of Nursing, Nishinomiya Kyoritsu Neurosurgical Hospital, Hyogo 663-8211, Japan
| | - Kenta Murotani
- Biostatistics Center, Kurume University, Fukuoka 830-0011, Japan
| | - Yoko Saino
- Department of Clinical Nutrition, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan
| | - Keisuke Maeda
- Department of Geriatric Medicine, Hospital, National Center for Geriatrics and Gerontology, Aichi 474-8511, Japan
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Ohtsubo T, Nozoe M, Kanai M, Ueno K, Nakayama M. Association of Objectively Measured Physical Activity with Physical Function in Patients with Sarcopenia during Hospitalized Rehabilitation. Nutrients 2022; 14:4439. [PMID: 36297123 PMCID: PMC9609848 DOI: 10.3390/nu14204439] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 10/17/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
This study aimed to investigate the association between objectively measured physical activity and functional improvement in hospitalized patients with sarcopenia. In this retrospective cohort study, physical activity (light-intensity physical activity [LIPA]; moderate-to-physical activity [MVPA]) was measured using a triaxial accelerometer in patients with sarcopenia undergoing rehabilitation on hospital admission. The primary outcome was physical function measured with the SPPB and activity of daily living (ADL) measured with the functional independence measure scores for motor function (FIM-M) at hospital discharge. Multiple regression analysis was per-formed to investigate the relationship between the objectively measured physical activity and functional outcomes. A total of 182 patients with sarcopenia (aged 81; interquartile range (IQR) 13 years) were included in this study. In the multiple regression analysis, LIPA was associated with the SPPB score at discharge (β = 0.180, p = 0.015) but not with FIM-M at discharge. MVPA was not associated with SPPB or FIM-M scores at discharge. In conclusion, LIPA on admission is independently associated with physical function, but not ADL, in patients with sarcopenia undergoing hospitalized rehabilitation.
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Affiliation(s)
- Takuro Ohtsubo
- Department of Rehabilitation, Nishi-Kinen Port Island Rehabilitation Hospital, Kobe 650-0046, Japan
| | - Masafumi Nozoe
- Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Konan Women’s University, Kobe 658-0001, Japan
| | - Masashi Kanai
- Department of Physical Therapy, Faculty of Nursing and Rehabilitation, Konan Women’s University, Kobe 658-0001, Japan
| | - Katsuhiro Ueno
- Department of Rehabilitation, Nishi-Kinen Port Island Rehabilitation Hospital, Kobe 650-0046, Japan
| | - Mai Nakayama
- Department of Rehabilitation, Nishi-Kinen Port Island Rehabilitation Hospital, Kobe 650-0046, Japan
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